The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Mobile Computing Framework for Passive RFID Detection System in Health Care
|
|
Author(s): Masoud Mohammadian (University of Canberra, Australia) and Ric Jentzsch (Compucat Research Pty Limited, Australia)
Copyright: 2008
Pages: 16
Source title:
Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA) and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch111
ISBN13: 9781599048895
ISBN10: 1599048892
EISBN13: 9781599048901
Purchase
|
Abstract
The cost of health care continues to be a world wide issue. Research continues into ways and how the utilization of evolving technologies can be applied to reduce costs and improve patient care, while maintaining patient’s lives. To achieve these needs requires accurate, near real time data acquisition and analysis. At the same time there exists a need to acquire a profile on a patient and update that profile as fast and as possible. All types of confidentiality need to be addressed no matter which technology and application is used. One possible way to achieve this is to use a passive detection system that employs wireless radio frequency identification (RFID) technology. This detection system can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. Once this data is obtained, then up to date profiling can be integrated into the patient care system. This article discussed the use and need for a passive RFID system for patient data acquisition in health care facilities such as a hospital. The development of profile data is assisted by a profiling intelligent software agent that is responsible for processing the raw data obtained through RFID and database and invoking the creation and update of the patient profile.
Related Content
|
Informatics Application Challenges for Managed Care Organizations: The Three Faces of Population Segmentation and a Proposed Classification System
Stephan Kudyba and Theodore L. Perry
(2010).
Health Information Systems: Concepts, Methodologies, Tools, and Applications
(pp. 1318-1327).
View Details
View Sample PDF
|
|
Using a Neural Network to Predict Participation in a Maternity Care Coordination Program
George E. Heilman, Monica Cain and Russell S. Morton
(2011).
Developments in Healthcare Information Systems and Technologies: Models and Methods
(pp. 84-93).
View Details
View Sample PDF
|
|
From Idea to Use: Lessons Learned From a Participatory ICT Healthcare Case Study
Henrik Enquist
(2011).
Smart Healthcare Applications and Services: Developments and Practices
(pp. 75-91).
View Details
View Sample PDF
|
|
The Concept of Interoperability for AAL Systems
Lamprini T. Kolovou and Dimitrios K. Lymberopoulos
(2011).
Wireless Technologies for Ambient Assisted Living and Healthcare: Systems and Applications
(pp. 192-212).
View Details
View Sample PDF
|
|
Business Associates in the National Health Information Network: Implications for Medical Information Privacy
Edward J. Szewczak and Coral R. Snodgrass
(2010).
Health Information Systems: Concepts, Methodologies, Tools, and Applications
(pp. 1699-1712).
View Details
View Sample PDF
|
|
|